文章基本信息

标题：Study of periodic processes of changing the number of innovations in relation to Kondratiev cycles
本地全文：下载
作者：Sofia Diakonova ; Stepan Artyshchenko ; Daria Sysoeva 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：157
页码：1-10
DOI：10.1051/e3sconf/202015704031
出版社：EDP Sciences
摘要：In this paper, we propose a Supplement to the theory of the emergence of innovations in long Kondratiev cycles. The regularities of the emergence of crisis phenomena and the contribution of J. Schumpeter to the development of the innovative economy are considered. A comparative analysis of Marketing strategies is carried out. Schumpeter and N. D. Kondratiev, identified distinctive factors and common combinations. The stages of long wave cycles over several decades are analyzed. The analysis revealed innovative peaks that occur in the middle of the depression phase, followed by stages of economic activity growth after a certain period of time. The authors studied the theory of the trigger effect of depression, similar to the trigger action, which results in an avalanche of innovation growth. To confirm the theory of the existence of the “trigger effect of depression”, statistical data on the number of patents and applications filed in Russia and the United States for several decades, which are indicators of innovation activity, are presented. The authors put forward a hypothesis about the possibility of describing the periodic change in the number of innovations over time using “parametric resonance” models and the Mathieu equation.
其他摘要：In this paper, we propose a Supplement to the theory of the emergence of innovations in long Kondratiev cycles. The regularities of the emergence of crisis phenomena and the contribution of J. Schumpeter to the development of the innovative economy are considered. A comparative analysis of Marketing strategies is carried out. Schumpeter and N. D. Kondratiev, identified distinctive factors and common combinations. The stages of long wave cycles over several decades are analyzed. The analysis revealed innovative peaks that occur in the middle of the depression phase, followed by stages of economic activity growth after a certain period of time. The authors studied the theory of the trigger effect of depression, similar to the trigger action, which results in an avalanche of innovation growth. To confirm the theory of the existence of the “trigger effect of depression”, statistical data on the number of patents and applications filed in Russia and the United States for several decades, which are indicators of innovation activity, are presented. The authors put forward a hypothesis about the possibility of describing the periodic change in the number of innovations over time using “parametric resonance” models and the Mathieu equation.